Skip to main content

Python package for reporting Juice Trajectory Assessment

Project description

Juice Trajectory Assessment

1. Getting Started

This Python package provides libs and tools for to assess the Juice Trajectory reporting metrics using as inputs the output provided from different SOC tools. (eps_wrapper, geopipeline, moon coverage)

The following tools are being provided:

  • juice_trajectory_assessment: reporting metrics using as inputs the output provided from different SOC tools. (osve_wrapper/eps_wrapper, geopipeline, moon coverage)
  • juice_trajectory_assessment_comparison: generating a comparison report between 2 trajectories (crema)

1.1 Tool Details

1.1.1 juice_trajectory_assessment

This tool allows to generate a Trajectory Assessment report for a given Trajectory (crema)

juice_trajectory_assessment -c <path to configuration file>

the output include the report in rst, pfg and html format

1.1.2 juice_trajectory_assessment_comparison

This tool allows to generate a Trajectory Assessment Comparison report comparing 2 trajectories (Crema)

juice_trajectory_assessment_comparison -c <path to configuration file>

the output include the report in rst, pfg and html format

1.2 Installation

1.2.1 Prerequisites

  • Python 3.7 or higher.

1.2.2 Setup

1.2.2.1 Package installation

From command line install the following packages using pip:

pip install juice_trajectory_assessment

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

juice_trajectory_assessment-0.7.3.tar.gz (78.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

juice_trajectory_assessment-0.7.3-py3-none-any.whl (91.3 kB view details)

Uploaded Python 3

File details

Details for the file juice_trajectory_assessment-0.7.3.tar.gz.

File metadata

File hashes

Hashes for juice_trajectory_assessment-0.7.3.tar.gz
Algorithm Hash digest
SHA256 999291655dad824adc61dba11b8edb33498108cc31c5deb75ca7dab3db4d1895
MD5 1b2308f8213d5b73bbdde717068c4a3c
BLAKE2b-256 462731711f69f9524b99caa8f19193c2ce7e43b6e8455114f73698cae5a63b99

See more details on using hashes here.

File details

Details for the file juice_trajectory_assessment-0.7.3-py3-none-any.whl.

File metadata

File hashes

Hashes for juice_trajectory_assessment-0.7.3-py3-none-any.whl
Algorithm Hash digest
SHA256 54c40d97266383280994caa08b390be6536deca78e2dadcc890ad1ec9fc0483e
MD5 981893179be8b6a0a4da37339d0c795d
BLAKE2b-256 e4c5b0b8863c1288a7e64af666aefabcadf6394c345e059cf63211c62e333f9b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page